/* * Copyright (c) 2018 ARM Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #ifndef __ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H__ #define __ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H__ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/ICLSimpleFunction.h" #include namespace arm_compute { class ICLTensor; /** Basic function to execute a @ref CLWinogradInputTransformKernel. */ class CLWinogradInputTransform : public ICLSimpleFunction { public: /** Set the input and output tensors. * * @note Winograd input transform supports the following configurations for NCWH data layout * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) * * @note Winograd input transform supports the following configurations for NHWC data layout * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) * * Strides: only unit strides * * @param[in] input The input tensor to transform. Data types supported: F16,F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. */ void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform. * * @note Winograd input transform supports the following configurations for NCWH data layout * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) * * @note Winograd input transform supports the following configurations for NHWC data layout * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) * * Strides: only unit strides * * @param[in] input The input tensor to transform. Data types supported: F16,F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info); }; } #endif /*__ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H__ */